CN117575546B - Background management system for network vehicle-restraining platform - Google Patents
Background management system for network vehicle-restraining platform Download PDFInfo
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Abstract
The invention discloses a background management system for a network taxi-taking platform, belonging to the technical field of background data management; carrying out data statistics and processing analysis on different aspects of the waiting and order cancellation after each user network about vehicle ordering in different divided areas; the method comprises the steps of expanding and extending analysis data of different aspects of different network taxi orders in different earlier-stage divided areas to obtain a partial order successful overall waiting state and a partial order failure overall waiting state in different divided area periods, further obtaining an order abnormal overall influence state of different divided areas through data integration calculation, and dynamically prompting operation optimization management suggestions corresponding to different abnormal selected areas through continuous verification of abnormal operation of the different abnormal selected areas; the method and the device are used for solving the technical problem that the effect of single experiment optimization management is poor under different users in different areas of background management in the existing scheme.
Description
Technical Field
The invention relates to the technical field of background data management, in particular to a background management system for a network taxi-taking platform.
Background
Background management refers to an interface for monitoring, configuring, and managing a system or application, typically used by an administrator or authorized user, for managing and monitoring various aspects of the system, including user management, rights management, data management, system settings, and the like.
Most of the background management systems for the network vehicle-booking platforms stay on the data monitoring records, processing integration and display of different aspects of a single network vehicle-booking platform when working, can not actively perform data mining, analysis and utilization on the waiting conditions after different users in different areas place orders, and implement differentiated operation management optimization prompt on different areas according to data analysis results, so that the effect of background management on single experiment optimization management of different users in different areas is poor.
Disclosure of Invention
The invention aims to provide a background management system for a network taxi-taking platform, which is used for solving the technical problem that the background management in the prior art has poor effect on optimizing and managing single tests under different users in different areas.
The aim of the invention can be achieved by the following technical scheme:
the background management system for the network appointment vehicle platform comprises a network appointment vehicle order monitoring processing calculation module, a network appointment vehicle management module and a network appointment vehicle management module, wherein the network appointment vehicle order monitoring processing calculation module is used for carrying out periodic data statistics and processing analysis of different dimensions on user real-time network appointment vehicle orders in different target areas and arrival conditions of subsequent network appointment vehicles, acquiring local ordering abnormal influence conditions corresponding to different divided areas in the target areas, and acquiring overall ordering abnormal influence conditions corresponding to the target areas through integration; comprising the following steps:
when a user places a order of a network order, determining a corresponding order dividing area and an order target area, acquiring corresponding order waiting time and order waiting time according to an order confirmation time point, and determining an order waiting type and an order waiting type label corresponding to the order taking order;
when the user cancels the network vehicle order, acquiring cancellation duration and determining a cancellation type label corresponding to the cancellation order; the label obtained by analysis and the associated numerical value are associated and combined with the ordering number to obtain ordering processing analysis data;
when the periodical ordering overall processing state analysis is implemented on different target areas, traversing all ordering processing analysis data in different dividing areas in the target areas in an ordering processing evaluation period, and obtaining corresponding ordering success influence factors and ordering failure influence factors of the dividing areas in the ordering processing evaluation period through data calculation;
calculating and acquiring the corresponding ordering abnormal overall influence degree of the dividing region in the ordering processing evaluation period according to the ordering success influence factor and the ordering failure influence factor; analyzing the abnormal overall influence of the ordering to obtain the abnormal selected region and the abnormal overall influence of the region corresponding to the target region;
and the regional network vehicle-reduction operation analysis management module is used for implementing continuous verification of abnormal operation according to the regional abnormal integral influence degree corresponding to different target regions and different abnormal selected regions in different target regions, and dynamically prompting operation optimization management suggestions corresponding to the different abnormal selected regions according to verification results.
Preferably, the system further comprises a target area basic information monitoring and statistics module, wherein the target area basic information monitoring and statistics module is used for carrying out gridding treatment on different target areas to obtain different divided areas and carrying out data statistics and treatment combination to obtain a target area divided combination set; comprising the following steps:
performing gridding treatment on different target areas to obtain different dividing areas and corresponding position coordinates, setting the target areas as main marks, setting the dividing areas as auxiliary marks, obtaining all street names in the dividing areas, and sequencing and combining according to the order of initial letters to obtain a street sequencing table;
all the division areas associated with the target area and the corresponding position coordinates and all the associated street ranking tables form division combination data; the division combination data of all the target areas constitute a target area division combination set.
Preferably, when a user starts to confirm the ordering and the network closing, a corresponding ordering number, an ordering time point and a corresponding ordering account and ordering position are obtained, traversing and matching are carried out on the ordering position and the target area dividing and combining set to obtain a corresponding dividing area and a target area, and the dividing area and the target area are respectively marked as an ordering dividing area and an ordering target area;
performing retrospective statistics and analysis on waiting data after the user is ordered according to an ordering confirmation time point, generating an order-success instruction when a network about vehicle ordered by the user is ordered, acquiring a corresponding order-order time point and a corresponding arrival time point according to the order-success instruction, and respectively calculating ordering waiting time Txi and loading waiting time Tsi between the order-order time point and the order-order time point and between the arrival time point and the order-order time point, wherein i=1, 2,3, … … and n; n is a positive integer.
Preferably, when determining a get-off waiting type and a get-on waiting type corresponding to a get-on order according to a get-off waiting time and a get-on waiting time, if the get-off waiting time is not greater than a get-off waiting time threshold and the get-on waiting time is not greater than a get-on waiting time threshold, determining that the get-off waiting of a user is normal and the get-on waiting is normal, generating a get-off waiting normal label and a get-on waiting normal label, and setting the associated values to 0;
otherwise, generating an order waiting abnormal label and an on-boarding waiting abnormal label, and setting the associated numerical values as p.
Preferably, when the user cancels the network vehicle order, generating a receipt failure instruction, acquiring a cancellation time point of the user canceling the network vehicle order according to the receipt failure instruction, and calculating cancellation duration Tqj, j=1, 2,3, … …, m between the cancellation time point and the order-placing time point; m is a positive integer;
when determining the cancellation type corresponding to the cancellation order according to the cancellation duration, if the cancellation duration is not greater than the cancellation duration threshold, determining that the user actively cancels and generates an active cancellation tag, and setting the associated value to 0;
otherwise, judging that the user passively cancels and generating a passive cancellation label, and setting the associated numerical value of the passive cancellation label as q, wherein p and q are positive integers and p is less than q;
and carrying out association combination on the label obtained by analysis and the associated numerical value and the ordering number to obtain ordering processing analysis data.
Preferably, when the periodic ordering overall processing state analysis is implemented on different target areas, in an ordering processing evaluation period, the total number of the ordering in different dividing areas in the target area and the ordering processing analysis data corresponding to the ordering of different users are obtained;
and (3) arranging different dividing regions in a descending order according to the total number of the orders, and when processing and analyzing the partial ordering abnormal states of the ordered different dividing regions, acquiring all the ordering processing analysis data corresponding to the different dividing regions, traversing, and counting the total number of the ordering waiting abnormal labels, the total number of the loading waiting abnormal labels and the total number of the passive cancellation labels.
Preferably, the formula is affected successfully by the orderingAnd ordering failure influence formulaCalculating and acquiring an ordering success influence factor alpha 1 and an ordering failure influence factor alpha 2 corresponding to the dividing region in the ordering processing evaluation period respectively; wherein, beta 1 and beta 2 are weight coefficients with different proportions, beta 1 is more than 0 and less than 1, beta 2 is more than 0 and less than 1, and beta 1+ beta 2 = 1; tx0 is a ordering waiting time threshold corresponding to an ordering processing evaluation period, ts0 is an on-boarding waiting time threshold corresponding to the ordering processing evaluation period, and Tq0 is a cancellation duration time threshold corresponding to the ordering processing evaluation period.
Preferably, the abnormal overall influence degree μ of the ordering corresponding to the divided area in the ordering processing evaluation period is obtained through calculating an ordering overall influence formula μ=α1+2×α2;
and arranging all the divided areas in the target area in a descending order according to the numerical value of the overall influence degree of the abnormal ordering, marking the divided areas corresponding to the overall influence degree of the abnormal ordering which is larger than the overall influence threshold value of the abnormal ordering as the abnormal selected areas, counting the total number of the abnormal selected areas, and setting the numerical value of the abnormal selected areas as the overall influence degree of the abnormal areas corresponding to the target area.
Preferably, counting the total number of anomalies occurring in different anomaly selected areas in different target areas in a verification period, acquiring the median of the total number of anomalies occurring in all the anomaly selected areas, setting the median as an anomaly total number threshold, marking the anomaly selected area corresponding to the total number of anomalies greater than the anomaly total number threshold as an anomaly stable selected area, and marking the target area to which the anomaly stable selected area belongs as an anomaly stable target area;
and according to the numerical value of the total number of the anomalies, all the anomaly stability selected areas and the anomaly stability target areas to which the anomaly stability selected areas belong are arranged in a descending order and combined to obtain an anomaly area operation analysis table, and the anomaly area operation analysis table is pushed to a network taxi platform background manager to prompt the operator to apply targeted operation subsidy to the anomaly stability selected areas.
In order to solve the above problems, the present invention also provides a storage medium including at least one processor; and a memory communicatively coupled to the at least one processor;
the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor, so that the at least one processor can execute the background management system for the network vehicle platform.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, through carrying out data statistics and processing analysis on different waiting aspects and order cancellation aspects after each user network vehicle order in different divided areas, not only can the individual waiting conditions and order cancellation conditions of different users in different divided areas be obtained more efficiently, but also reliable individual analysis data support in different aspects can be provided for the subsequent analysis of the overall network vehicle operating state in different divided areas, and the diversity of monitoring data statistics and the expansibility of data utilization after the user network vehicle order is placed are improved.
According to the method, analysis data of different aspects of different network taxi orders in different earlier-stage divided areas are expanded and obtained, so that a partial order successful overall waiting state and a partial order failure overall waiting state in different divided area periods can be obtained, the order abnormal overall influence state of different divided areas and the area abnormal overall influence state corresponding to the target area are further obtained through data integration calculation, reliable data support can be provided for follow-up different target areas and targeted operation optimization management prompts of different divided areas, and diversity and reliability of analysis data mining and utilization of different individual orders are improved.
According to the invention, through implementing continuous verification of abnormal operation on different abnormal selected areas and dynamically prompting operation optimization management suggestions corresponding to the different abnormal selected areas according to verification results, pertinence and effectiveness of prompting of the different abnormal selected areas can be effectively improved, and the overall effect of vehicle operation of different local division area networks is improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a block diagram of a background management system for a network vehicle platform according to the present invention.
FIG. 2 is a block flow diagram of different wait type acknowledgements and cancel type acknowledgements in accordance with the present invention.
FIG. 3 is a block flow diagram of a continuous check of abnormal operation performed in different abnormally selected areas in the present invention.
Fig. 4 is a schematic structural diagram of a computer device implementing a background management system for a network vehicle platform.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which are obtained by persons skilled in the art without any inventive effort, are within the scope of the present invention based on the embodiments of the present invention.
Example 1: as shown in FIG. 1, the invention relates to a background management system for a network about car platform, which comprises a target area basic information monitoring and counting module, a network about car order monitoring and processing and calculating module, an area network about car operation analysis and management module and a database;
the target area basic information monitoring and counting module is used for carrying out gridding treatment on different target areas to obtain different divided areas and carrying out data statistics and treatment combination to obtain a target area divided combination set; comprising the following steps:
performing gridding treatment on different target areas to obtain different dividing areas and corresponding position coordinates, setting the target areas as main marks, setting the dividing areas as auxiliary marks, obtaining all street names in the dividing areas, and sequencing and combining according to the order of initial letters to obtain a street sequencing table;
all the division areas associated with the target area and the corresponding position coordinates and all the associated street ranking tables form division combination data;
the dividing combination data of all the target areas form a target area dividing combination set and are stored in a database;
the target area in the embodiment of the invention can be different administrative areas, the dividing areas can be divided based on the existing street dividing range, so that the target area is subjected to gridding and modularization processing, the targeted network contract vehicle operation optimization management can be more accurately and efficiently implemented for different dividing areas, and meanwhile, reliable geographic position data support can be provided for the analysis of the individual network contract vehicle order state of the subsequent different dividing areas.
The network appointment vehicle order monitoring processing calculation module is used for carrying out periodic data statistics and processing analysis of different dimensions on user real-time network appointment vehicle orders of different target areas and arrival conditions of subsequent network appointment vehicles according to the target area division combination set, acquiring local ordering abnormal influence conditions corresponding to different division areas in the target areas, and acquiring overall ordering abnormal influence conditions corresponding to the target areas through integration; comprising the following steps:
when a user starts to confirm the ordering and the network appointment, acquiring a corresponding ordering number, an ordering time point and a corresponding ordering account and an ordering position, wherein the unit of the ordering time point is accurate to seconds, the ordering position comprises an ordering street name, the ordering position and a target area are divided and combined in a concentrated mode through network appointment software and the existing positioning technology, a corresponding divided area and a target area are acquired through traversing and matching, and marked as an ordering divided area and an ordering target area respectively, and the ordering are realized through matching of the ordering street name and all street names in the target area divided and combined set;
and carrying out traceability statistics and analysis on the waiting data after the user orders according to the order confirmation time point, generating an order-receiving success instruction when the network about vehicle ordered by the user orders the order, and acquiring a corresponding order-receiving time point and a corresponding arrival time point according to the order-receiving success instruction. The unit of the time point is accurate to seconds, and the order waiting time Txi and the get-on waiting time Tsi between the order receiving time point and between the arrival time point and the order receiving time point are respectively calculated, wherein i=1, 2,3, … … and n; n is a positive integer;
as shown in fig. 2, when determining the order waiting type and the get-on waiting type corresponding to the order taking order according to the order waiting time and the get-on waiting time, if the order waiting time is not greater than the order waiting time threshold and the get-on waiting time is not greater than the get-on waiting time threshold, determining that the order waiting of the user is normal and the get-on waiting is normal, generating an order waiting normal label and a get-on waiting normal label, and setting the associated values to 0;
the ordering waiting time length threshold and the getting-on waiting time length threshold are determined according to the ordering waiting time length median and the getting-on waiting time length corresponding to all the ordering users in the same ordering processing evaluation period, and the same data type in the same ordering processing evaluation period is more persuasive;
otherwise, generating an abnormal label waiting for ordering and an abnormal label waiting for getting on the bus and setting the associated numerical values as p;
generating a receipt failure instruction when a user cancels a network vehicle order, acquiring a cancellation time point of the user canceling the network vehicle order according to the receipt failure instruction, and calculating cancellation duration Tqj between the cancellation time point and the order time point, wherein j=1, 2,3, … … and m; m is a positive integer;
when determining the cancellation type corresponding to the cancellation order according to the cancellation duration, if the cancellation duration is not greater than the cancellation duration threshold, determining that the user actively cancels and generates an active cancellation tag, and setting the associated value to 0;
otherwise, judging that the user passively cancels and generating a passive cancellation label, and setting the associated numerical value of the passive cancellation label as q, wherein p and q are positive integers and p is less than q;
the label obtained by analysis and the associated numerical value are associated and combined with the ordering number to obtain ordering processing analysis data;
in the embodiment of the invention, through carrying out data statistics and processing analysis on different waiting aspects and order cancellation aspects after each user network order in different divided areas, the individual waiting conditions and order cancellation conditions of different users in different divided areas can be obtained more efficiently, reliable individual analysis data support in different aspects can be provided for the subsequent analysis of the overall network order operation state in different divided areas, and the diversity of monitoring data statistics and the expansibility of data utilization after the user network order ordering are improved.
When the periodic ordering overall processing state analysis is implemented on different target areas, in the ordering processing evaluation period, the unit of the ordering processing evaluation period is an hour, specifically, the unit of the ordering processing evaluation period can be an hour, namely, the calculation and the analysis of the overall network vehicle operating state of the divided areas and the target areas are carried out once every other hour, and the total number of the ordered orders in the different divided areas in the target area and the ordering processing analysis data corresponding to the ordered orders of different users are obtained;
the method comprises the steps of arranging different dividing regions in descending order according to the total number of the orders, acquiring all the order processing analysis data corresponding to the different dividing regions and traversing when processing and analyzing the partial order abnormal states of the ordered different dividing regions, and counting the total number of the order waiting abnormal labels, the total number of the on-board waiting abnormal labels and the total number of the passive cancellation labels; the formula is successfully influenced by orderingAnd ordering failure influence formulaCalculating and acquiring an ordering success influence factor alpha 1 and an ordering failure influence factor alpha 2 corresponding to the dividing region in the ordering processing evaluation period respectively; wherein, beta 1 and beta 2 are weight coefficients with different proportions, beta 1 is more than 0 and less than 1, beta 2 is more than 0 and less than 1, and beta 1+ beta 2 = 1; tx0 is a waiting duration threshold corresponding to the ordering processing evaluation period, ts0 is a waiting duration threshold corresponding to the ordering processing evaluation period, tq0 is a cancelling duration threshold corresponding to the ordering processing evaluation period, and the cancelling duration threshold can be determined by the average value of the historical order cancelling duration and a cancelling reason provided when a user is cancelled;
it should be noted that, the ordering success influence factor is a numerical value for evaluating the ordering success overall waiting state by integrating and calculating the order receiving success waiting data and the boarding waiting data after the ordering success of all users in the same dividing region;
the order canceling factor is a numerical value used for carrying out integrated calculation on canceling duration data after canceling the order of all users in the same dividing region to evaluate the overall waiting state of the order failure;
calculating and obtaining the corresponding ordering abnormal integral influence degree mu of the dividing region in the ordering processing evaluation period through an ordering integral influence formula mu=alpha 1+2×alpha 2;
the ordering abnormal overall influence degree is a numerical value used for integrating network vehicle operation order analysis data of different aspects of the dividing region in the ordering processing evaluation period to evaluate the ordering abnormal overall influence state;
according to the numerical value of the overall influence of the abnormal ordering, all the divided areas in the target area are arranged in a descending order, the divided areas corresponding to the overall influence of the abnormal ordering, which is larger than the overall influence threshold of the abnormal ordering, are marked as the abnormal selected areas, the total number of the abnormal selected areas is counted, and the numerical value of the abnormal selected areas is set as the overall influence of the abnormal areas corresponding to the target area; the overall influence threshold value of the ordering exception is the median value of the overall influence of the ordering exception corresponding to all target areas in the same ordering processing evaluation period;
in the embodiment of the invention, the analysis data of different aspects of the different network taxi orders in the different earlier-stage divided areas are obtained by expanding and extending, so that the partial taxi-successful overall waiting state and the partial taxi-failed overall waiting state in different divided area periods can be obtained, the taxi-abnormal overall influence state of the different divided areas and the area abnormal overall influence state corresponding to the target area are further obtained through data integration calculation, reliable data support can be provided for the follow-up different target areas and the targeted operation optimization management prompt of the different divided areas, and the diversity and reliability of analysis data mining and utilization of different individual orders are improved.
The regional network vehicle-reduction operation analysis management module is used for implementing continuous verification of abnormal operation according to the regional abnormal integral influence degree corresponding to different target regions and different abnormal selected regions in different target regions, and dynamically prompting operation optimization management suggestions corresponding to the different abnormal selected regions according to verification results; comprising the following steps:
as shown in fig. 3, in the verification period, the verification period may be composed of a plurality of ordering processing evaluation periods, the specific number of the ordering processing evaluation periods may be customized according to the actual application scene and the actual requirement, the total number of anomalies occurring in different anomaly selected areas in different target areas is counted, the median value of the total number of anomalies occurring in all the anomaly selected areas is obtained and set as the threshold value of the total number of anomalies, the anomaly selected area corresponding to the total number of anomalies greater than the threshold value of the total number of anomalies is marked as an anomaly stable selected area, and the target area to which the anomaly stable selected area belongs is marked as an anomaly stable target area;
otherwise, marking the abnormal selected area corresponding to the abnormal total times which is not more than the abnormal total times threshold as an abnormal fluctuation selected area, and marking the target area to which the abnormal stable selected area belongs as an abnormal fluctuation target area;
it should be noted that, because of the specific burstiness and contingency of the monitoring analysis result of the single ordering processing evaluation period, in order to improve the targeted operation optimization management effect of the subsequent implementation of different division areas, the reliability of the optimization prompt needs to be improved by targeted implementation of the continuous verification of the abnormal state on the abnormally selected area.
According to the numerical value of the total number of the anomalies, all the anomaly stability selected areas and the anomaly stability target areas to which the anomaly stability selected areas belong are arranged in a descending order and combined to obtain an anomaly area operation analysis table, and the anomaly area operation analysis table is pushed to a network taxi platform background manager and prompts to implement targeted operation subsidy on the anomaly stability selected areas; operational patches include, but are not limited to, driver-side driving patches and user-side waiting patches.
According to the embodiment of the invention, through implementing continuous verification of abnormal operation on different abnormal selected areas and dynamically prompting operation optimization management suggestions corresponding to the different abnormal selected areas according to verification results, pertinence and effectiveness of prompting of the different abnormal selected areas can be effectively improved, and the overall effect of different local regional division network vehicle-restraining operation is improved.
In addition, the formulas related in the above are all formulas for removing dimensions and taking numerical calculation, and are one formula which is obtained by acquiring a large amount of data and performing software simulation through simulation software and is closest to the actual situation.
Example 2: fig. 4 is a schematic structural diagram of a computer device for implementing a background management system for a network vehicle platform according to an embodiment of the present invention.
The computer device may include a processor, memory, and a bus, and may also include a computer program stored in the memory and executable on the processor, such as a program of a background management system for a network restraint vehicle platform.
The memory includes at least one type of readable storage medium, including flash memory, a removable hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory may in some embodiments be an internal storage unit of a computer device, such as a removable hard disk of the computer device. The memory may also be an external storage device of the computer device in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. that are provided on the computer device. Further, the memory may also include both internal storage units and external storage devices of the computer device. The memory may be used not only for storing application software installed in the computer device and various types of data, for example, code of a program of a background management system for a network vehicle platform, or the like, but also for temporarily storing data that has been output or is to be output.
The processor may in some embodiments be comprised of integrated circuits, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged in the same location or in different locations, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, combinations of various control chips, and the like. The processor is a Control Unit (Control Unit) of the computer device, connects the respective components of the entire computer device using various interfaces and lines, executes or executes programs or modules stored in a memory (for example, a program of a background management system for a network vehicle platform, etc.), and invokes data stored in the memory to execute various locations of the computer device and process the data.
The bus may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between said memory and at least one processor or the like.
Fig. 4 shows only a computer device with components, and it will be understood by those skilled in the art that the structure shown in fig. 4 is not limiting of the computer device and may include fewer or more components than shown, or may combine some of the components, or a different arrangement of components.
For example, although not shown, the computer device may further include a power source (such as a battery) for powering the various components, preferably the power source may be logically connected to the at least one processor by a power management device such that charge management, discharge management, and power consumption management are achieved by the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The computer device may also include various sensors, bluetooth modules, wi-Fi modules, etc., which are not described in detail herein.
Further, the computer device may also include a network interface, which may optionally include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), typically used to establish a communication connection between the computer device and other computer devices.
The computer device may optionally further comprise a user interface, which may be a Display, an input unit such as a Keyboard (Keyboard), or a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the computer device and for displaying a visual user interface.
It should be understood that the above-described embodiments are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
A program of a background management system for a network vehicle platform stored in a memory of a computer device is a combination of a plurality of instructions.
Specifically, the specific implementation method of the above instruction by the processor may refer to descriptions of related steps in the corresponding embodiments of fig. 1 to 3, which are not repeated herein.
Further, the modules/units integrated with the computer device may be stored in a computer readable storage medium if implemented in the form of software location units and sold or used as stand-alone products. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
The invention also provides a computer readable storage medium storing a computer program which, when executed by a processor of a computer device, causes a computer to perform the method of the invention.
In the several embodiments provided in the present invention, it should be understood that the disclosed method may be implemented in other manners. For example, the above-described embodiments of the invention are merely illustrative, e.g., the division of modules is merely a logical location division, and other manners of division may be implemented in practice.
The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each location module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software location modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (7)
1. The background management system for the network appointment vehicle platform is characterized by comprising a network appointment vehicle order monitoring processing calculation module, a network appointment vehicle order processing calculation module and a network appointment vehicle management module, wherein the network appointment vehicle order monitoring processing calculation module is used for carrying out periodic data statistics and processing analysis of different dimensions on user real-time network appointment vehicle ordering and arrival conditions of subsequent network appointment vehicles in different target areas, acquiring local ordering abnormal influence conditions corresponding to different dividing areas in the target areas, and acquiring integral ordering abnormal influence conditions corresponding to the target areas through integration; comprising the following steps:
when a user places a order of a network order, determining a corresponding order dividing area and an order target area, acquiring corresponding order waiting time and order waiting time according to an order confirmation time point, and determining an order waiting type and an order waiting type label corresponding to the order taking order;
when the user cancels the network vehicle order, acquiring cancellation duration and determining a cancellation type label corresponding to the cancellation order; the label obtained by analysis and the associated numerical value are associated and combined with the ordering number to obtain ordering processing analysis data;
when the periodical ordering overall processing state analysis is implemented on different target areas, traversing all ordering processing analysis data in different dividing areas in the target areas in an ordering processing evaluation period, and obtaining corresponding ordering success influence factors and ordering failure influence factors of the dividing areas in the ordering processing evaluation period through data calculation; comprising the following steps:
the method comprises the steps of arranging different dividing regions in descending order according to the total number of the orders, acquiring all the order processing analysis data corresponding to the different dividing regions and traversing when processing and analyzing the partial order abnormal states of the ordered different dividing regions, and counting the total number of the order waiting abnormal labels, the total number of the on-board waiting abnormal labels and the total number of the passive cancellation labels;
the formula is successfully influenced by orderingAnd ordering failure influence formula +>Calculating and acquiring an ordering success influence factor alpha 1 and an ordering failure influence factor alpha 2 corresponding to the dividing region in the ordering processing evaluation period respectively; wherein, beta 1 and beta 2 are weight coefficients with different proportions, beta 1 is more than 0 and less than 1, beta 2 is more than 0 and less than 1, and beta 1+ beta 2 = 1; tx0 is a ordering waiting time threshold corresponding to the ordering processing evaluation period, ts0 is an on-vehicle waiting time threshold corresponding to the ordering processing evaluation period, and Tq0 is the ordering processing evaluation periodEstimating a cancellation duration threshold corresponding to the period; txi and Tsi are respectively the ordering waiting time between the order receiving time point and the ordering time point and the boarding waiting time between the arrival time point and the order receiving time point, i=1, 2,3, … … and n; n is a positive integer; the cancellation duration Tqj, tqj between the cancellation time point and the order time point is the cancellation duration between the cancellation time point and the order time point, j=1, 2,3, … …, m; m is a positive integer; p is a numerical value associated with the abnormal label waiting for ordering and the abnormal label waiting for getting on; q is a passive cancellation of tag associated values;
calculating and acquiring the corresponding ordering abnormal overall influence degree of the dividing region in the ordering processing evaluation period according to the ordering success influence factor and the ordering failure influence factor; calculating and obtaining the abnormal overall influence degree mu of the ordering corresponding to the dividing region in the ordering processing evaluation period through an ordering overall influence formula mu=alpha 1+2×alpha 2; analyzing the abnormal overall influence of the ordering to obtain the abnormal selected region and the abnormal overall influence of the region corresponding to the target region; comprising the following steps:
according to the numerical value of the overall influence of the abnormal ordering, all the divided areas in the target area are arranged in a descending order, the divided areas corresponding to the overall influence of the abnormal ordering, which is larger than the overall influence threshold of the abnormal ordering, are marked as the abnormal selected areas, the total number of the abnormal selected areas is counted, and the numerical value of the abnormal selected areas is set as the overall influence of the abnormal areas corresponding to the target area;
and the regional network vehicle-reduction operation analysis management module is used for implementing continuous verification of abnormal operation according to the regional abnormal integral influence degree corresponding to different target regions and different abnormal selected regions in different target regions, and dynamically prompting operation optimization management suggestions corresponding to the different abnormal selected regions according to verification results.
2. The background management system for the network vehicle platform according to claim 1, further comprising a target area basic information monitoring and statistics module, wherein the target area basic information monitoring and statistics module is used for performing gridding treatment on different target areas to obtain different divided areas and performing data statistics and processing combination to obtain a target area division combination set; comprising the following steps:
performing gridding treatment on different target areas to obtain different dividing areas and corresponding position coordinates, setting the target areas as main marks, setting the dividing areas as auxiliary marks, obtaining all street names in the dividing areas, and sequencing and combining according to the order of initial letters to obtain a street sequencing table;
all the division areas associated with the target area and the corresponding position coordinates and all the associated street ranking tables form division combination data; the division combination data of all the target areas constitute a target area division combination set.
3. The background management system for a network taxi-taking platform according to claim 2, wherein when a user starts to confirm a taxi-taking, a corresponding taxi-taking number, a taxi-taking time point and a corresponding taxi-taking account and a taxi-taking position are obtained, traversing matching is performed on the taxi-taking position and a target area dividing combination set to obtain a corresponding dividing area and a target area, and the dividing area and the target area are marked as a taxi-taking dividing area and a taxi-taking target area respectively;
and carrying out retrospective statistics and analysis on waiting data after the user orders according to the order confirmation time point, generating an order-receiving success instruction when the network about vehicle ordered by the user orders, acquiring a corresponding order-receiving time point and a corresponding arrival time point according to the order-receiving success instruction, and respectively calculating order-ordering waiting duration Txi and on-vehicle waiting duration Tsi between the order-receiving time point and the order-ordering time point and between the arrival time point and the order-ordering time point.
4. The background management system for a network taxi-taking platform according to claim 3, wherein when determining a taxi-taking waiting type and a taxi-taking waiting type corresponding to a taxi-taking order according to a taxi-taking waiting time and a taxi-taking waiting time, if the taxi-taking waiting time is not greater than a taxi-taking waiting time threshold and the taxi-taking waiting time is not greater than a taxi-taking waiting time threshold, determining that a user is normal in taxi-taking waiting and taxi-taking waiting, generating a taxi-taking waiting normal label and a taxi-taking waiting normal label, and setting the associated values to 0;
otherwise, generating an order waiting abnormal label and an on-boarding waiting abnormal label, and setting the associated numerical values as p.
5. The background management system for a network restraint vehicle platform according to claim 4, wherein a receipt failure instruction is generated when a user cancels a network restraint vehicle order, a cancellation time point when the user cancels the network restraint vehicle order is acquired according to the receipt failure instruction, and a cancellation duration Tqj between the cancellation time point and a placement time point is calculated;
when determining the cancellation type corresponding to the cancellation order according to the cancellation duration, if the cancellation duration is not greater than the cancellation duration threshold, determining that the user actively cancels and generates an active cancellation tag, and setting the associated value to 0;
otherwise, judging that the user passively cancels and generating a passive cancellation label, and setting the associated numerical value of the passive cancellation label as q, wherein p and q are positive integers and p is less than q;
and carrying out association combination on the label obtained by analysis and the associated numerical value and the ordering number to obtain ordering processing analysis data.
6. The background management system for a network vehicle platform according to claim 5, wherein in a verification period, counting total abnormal times of different abnormal selected areas in different target areas, obtaining a median value of the total abnormal times of all the abnormal selected areas, setting the median value as a threshold value of the total abnormal times, marking an abnormal selected area corresponding to the total abnormal times greater than the threshold value of the total abnormal times as an abnormal stable selected area, and marking the target area to which the abnormal stable selected area belongs as an abnormal stable target area;
and according to the numerical value of the total number of the anomalies, all the anomaly stability selected areas and the anomaly stability target areas to which the anomaly stability selected areas belong are arranged in a descending order and combined to obtain an anomaly area operation analysis table, and the anomaly area operation analysis table is pushed to a network taxi platform background manager to prompt the operator to apply targeted operation subsidy to the anomaly stability selected areas.
7. A storage medium comprising at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to execute a back-office management system for a network vehicle platform as claimed in any one of claims 1 to 6.
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